Scientific goals: This analysis pipeline will search for
unmodeled bursts which are long-lived. A long-lived burst is a signal
which exists for tens of cycles or more. This number of cycles could
typically correspond to time scales greater than seconds and quite
possibly up to minutes. Signals
that tracksearch is designed to identify will come from quasi-periodic
GW signals. One possible example of a long-lived type of burst signal
are the theoretical GWs emitted by the gamma ray burst models by Putten.

Data set(s): white noise, simulated LIGO type noise

Analysis Approach: This analysis uses a time frequency
representation(TFR)
of the data. Tracksearch "looks" at these representation relying on
an image processing algorithm developed by Carston Steger. Long-lived
GW signals will create curvi-linear(CL) features in the TFR. These CL
features are then further refined in single instrument event
candidates. A future multi-IFO approach with tracksearch involves combining
event candidates using a simple coincidence check.

Relationship to other projects: Tracksearch is an different than the
current burst projects focused on long duration signals. The project
most similar to tracksearch is "GWs associated with long
quasi-periodic signals (triggered)".

People involved: Cristina Torres (UTB), Warren Anderson (UWM)

Milestones:
*Major pipeline functions have been tested in simulated LIGO
noise. (Standalone non-pipeline test)
*A completed condor based pipeline test has been run end to end with white
noise and arbitrary waveform injections. This has been run on a
non-LSC computing cluster.

Projected timeline:
March 07: Get tracksearch pipeline running on a LSC cluster.
April 07: Run tracksearch with "playground" S5 data to perform
thorough pipeline debugging
July 07: Begin a "first attempt" search with a significant set of S5
data.